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Cloud Data & ETL Pipelines

Architecting robust data foundations on Azure & AWS for the AI era.

From Chaos to Clarity

80% of enterprise data is unstructured—PDFs, emails, logs, and images. Standard ETL tools fail here. We build custom Python pipelines designed specifically for the Generative AI era.

Our Capabilities

  • Unstructured Data Processing: Using OCR and layout analysis models to extract text from complex PDFs and scanned documents while preserving hierarchy.
  • Data Cleaning & Normalization: Automated removal of PII (Personally Identifiable Information), noise reduction, and standardization of formats.
  • Real-Time Pipelines: Event-driven architectures (Kafka, AWS Lambda, Azure Functions) that process data the moment it enters your system.
  • Cloud Native: Fully optimized for AWS (Glue, Redshift) and Azure (Data Factory, Synapse) ecosystems.
Build Your Pipeline
Enterprise ETL Pipeline

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